How to Use the Dotcom-Monitor MCP in Mastra AI

Q: How does the agent discover available monitoring locations?

The agent invokes listmonitoringlocations to map out active testing nodes. This allows your workflow to verify if an outage is global or isolated to a specific region.

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Connect Dotcom-Monitor MCP to Mastra AI

Create your Vinkius account to connect Dotcom-Monitor to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Dotcom-Monitor with Mastra AI

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Automate Incident Branching

`list_alert_groups` retrieves your configured notification lists to determine who is currently on call. Your Mastra AI agent reads these groups to route high-priority issues to the correct team automatically. If a primary endpoint goes down, the workflow engine triggers a branching logic path. The system can alert the engineering lead, open a ticket, and start a secondary diagnostic run without human intervention.

Track Flaky Endpoints Over Time

`get_device_monitoring_history` queries historical status data to identify recurring performance drops. Your agent evaluates this timeline to find patterns in server degradation. Mastra's built-in retry mechanism handles temporary network hiccups when fetching these records. This ensures your automated workflows do not fail due to transient API rate limits.

Deploy Mastra AI Agents with an MCP Server

`list_monitoring_devices` pulls a full index of your active targets to verify which endpoints are currently active. Your agent uses this index to audit your monitoring coverage. This MCP Server tool integrates directly with Mastra's agent class by spreading the tool list into your configuration object. You get a production-ready monitoring loop that can deploy to any cloud with one command.

Setup guide

Set up Dotcom-Monitor MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Dotcom-Monitor tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "dotcom-monitor-mcp-client",
  servers: {
    "dotcom-monitor-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Dotcom-Monitor Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Dotcom-Monitor tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Dotcom-Monitor transactions"
);
console.log(result.text);

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Common questions about Dotcom-Monitor MCP in Mastra AI

You initialize the MCP Server client with your Vinkius endpoint and pass the tools to your Mastra AI agent. Then, write a workflow step that periodically calls `list_monitoring_devices` and branches based on the returned status codes.

Yes, you can use Mastra's human-in-the-loop feature by setting `requireToolApproval` on critical tools. This ensures your agent cannot modify alert structures without explicit confirmation from an engineer.

Yes, the framework automatically applies exponential backoff to all tool executions. If the underlying API experiences a brief timeout, the system retries the call before failing the workflow.

The agent invokes `list_monitoring_locations` to map out active testing nodes. This allows your workflow to verify if an outage is global or isolated to a specific region.

This server accesses your monitoring configurations, alert recipient lists, and raw uptime histories. All API requests are processed through secure, isolated V8 instances, ensuring your credentials are never exposed to external actors.

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